Engineering Manager - Infrastructure

February 19

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Complexio

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Complexio is a company specializing in foundational artificial intelligence solutions designed for task automation using whole company data. Headquartered in London, they also have offices in Copenhagen and Monaco. Complexio is focused on leveraging AI technologies to enhance efficiency and automate processes within organizations. They prioritize data privacy and consent management, ensuring compliance with international data protection standards.

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• About Complexio • Complexio's Foundational AI automates business activities by ingesting entire company data—both structured and unstructured—to extract meaningful insights. • Our proprietary models and algorithms develop a deep understanding of human interactions with data, enabling automation to replicate and enhance these processes independently. • Complexio is a joint venture between Hafnia and Símbolo, in partnership with Marfin Management, C Transport Maritime, Trans Sea Transport, and BW Epic Kosan. • About the Role • As an Engineering Manager you will play a key role in leading infrastructure projects, supporting AI-powered applications, and working closely with clients to ensure smooth deployment and integration. • This role is ideal for someone with strong technical foundations in cloud, DevOps, and automation, who is also looking to grow their leadership skills while working on real-world AI infrastructure challenges. • You will collaborate with Software Engineers, Data Scientists, DevOps, and clients to ensure system reliability, efficient cloud-native deployments, and seamless client onboarding. • This is a hands-on leadership role, where you will balance technical execution, project coordination, and stakeholder management.

🎯 Requirements

• Support the design and scaling of cloud-based infrastructure, ensuring security, cost-efficiency, and high availability. • Implement and maintain CI/CD pipelines, automating deployments for efficiency and reliability. • Oversee monitoring, observability, and logging, ensuring system health and uptime. • Manage incident response and disaster recovery planning, ensuring fast recovery and minimal downtime. • Work with security best practices, including IAM, data encryption, and compliance requirements. • Collaborate with clients to understand their technical needs and ensure successful deployment of AI-powered solutions. • Provide technical support and guidance to clients during onboarding, integration, and troubleshooting. • Work closely with business and product teams to align infrastructure solutions with client requirements. • Develop documentation and training materials to help internal teams and clients effectively use our platforms. • Act as a bridge between technical and business teams, ensuring smooth communication and alignment. • Mentor and support engineers, helping them grow their expertise in cloud, DevOps, and automation. • Lead small projects and develop leadership skills by taking ownership of critical technical initiatives. • Stay up to date with emerging technologies in cloud infrastructure, automation, and AI. • 2–5 years of experience in leadership across infrastructure, DevOps, or site reliability engineering (SRE). • Experience working with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker, ECS). • Hands-on experience with infrastructure as code (IaC) tools such as Terraform, Pulumi, or CloudFormation. • Strong understanding of CI/CD automation, using tools like GitHub Actions, ArgoCD, or Jenkins. • Knowledge of monitoring and observability tools such as Prometheus, Grafana, Datadog, or OpenTelemetry. • Experience with databases and storage solutions like Postgres, Redis, Neo4j, or MongoDB. • Basic knowledge of networking, security, and identity management. • Comfortable engaging with clients and stakeholders, with good communication skills. • Interest in growing into a leadership role, with a willingness to take on more responsibility over time. • Experience with customer-facing technical roles (e.g., technical consulting, customer success, professional services). • Familiarity with AI Ops and MLOps, managing AI models in production. • Experience with scripting and automation (Python, Go, Bash). • Knowledge of FinOps and cost optimization in cloud environments.

🏖️ Benefits

• Get hands-on experience in AI-powered infrastructure at a fast-moving company. • Develop leadership skills in a supportive environment while still working on technical challenges. • Work closely with clients, learning how AI-driven automation is transforming industries. • Remote-friendly role (must be within 4–5 hours of CET timezone).